das-review

Validate coding loop implementations against planning artifacts and repository state.

6|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/luispabon/ai-bits-and-pieces --skill das-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: das-review
Source: https://github.com/luispabon/ai-bits-and-pieces/tree/main/skills/das-coder/das-review
Command: npx skills add https://github.com/luispabon/ai-bits-and-pieces --skill das-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill addresses the lack of rigorous validation in automated coding loops by providing a structured, gate-keeping mechanism that ensures code changes adhere to the original plan and quality standards before finalization.

Core Features & Use Cases

  • Automated Review Pass: Validates implementation against planning artifacts (overview.md, plan.yaml, execution.md) and repository state.
  • Review-Fix Loop: Manages isolated fix passes via sub-agent delegation to resolve blocking findings without manual intervention.
  • Closeout Automation: Handles planning-doc cleanup and PR/MR creation across multiple providers (GitHub, GitLab, Azure DevOps).

Quick Start

Invoke the das-review skill by providing the path to your feature planning folder to initiate the validation and closeout process.

Frequently Asked Questions about das-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code review adherence against planning artifacts before a pull request?

Automated code review against planning artifacts validates implementation files like overview.md and plan.yaml to ensure plan adherence before final PR submission. It enforces artifact-based verification and pre-commit checklists to guarantee code quality.

What is a coding loop review and how does it manage blocking findings?

A coding loop review validates repository state against approved plans and manages blocking findings via a review-fix loop. It delegates isolated fix passes to sub-agents to resolve issues without manual intervention before finalizing changes.

Can I automate pull request creation across GitHub, GitLab, and Azure DevOps after validation?

Yes, you can automate PR and MR creation across GitHub, GitLab, and Azure DevOps using closeout automation. This process handles planning-doc cleanup and finalizes submission only after strict validation and pre-commit checklist enforcement passes.

How do I enforce a pre-commit checklist for automated quality assurance workflows?

Enforcing a pre-commit checklist for quality assurance requires a gate-keeping mechanism that validates code changes against execution.md plans. This ensures automated coding loops adhere to original quality standards before finalization.

Does automated code review work with isolated worktree delegation for fix passes?

Automated code review operates within a defined coding loop workflow using isolated worktree delegation. This delegates fix passes to sub-agents to resolve blocking findings and verify changes independently before closeout.